Senior AI Solutions Engineer

Senior AI Solutions Engineer

Location:

Chicago, IL (Hybrid: 1–2 office days per week)

• Maintain active relationships with product, data, engineering, architecture, and business teams to translate business problems into scalable AI/ML solutions.
• Apply AI/ML capabilities and modern AI tools to solve business problems, improve healthcare outcomes, and enable practical adoption across workflows and applications.
• Own the change request process and coordinate with other teams as necessary.
• Provide technical advice and weigh in on decisions affecting cross‑functional teams.
• Research and propose new technologies, stay abreast of AI developments, and apply them to relevant enterprise use cases.
• Design, build, and deploy end‑to‑end ML and LLM‑based systems (data pipelines, models, prompts, APIs, monitoring).
• Develop, evaluate, deploy, and monitor machine learning models for predictive, classification, optimization, personalization, and decision‑support use cases.
• Build applied AI solutions such as semantic search, RAG pipelines, and embedding‑based systems.
• Develop production‑ready AI/ML services, APIs, pipelines, and reusable components; improve performance, scalability, reliability, usability, and operational readiness.
• Perform technical design and code reviews; provide technical leadership through solution design, best practices, troubleshooting, and mentoring.
• Assess status and support data information planning.
• Coordinate on‑call support and ensure effective monitoring of systems, including model performance and reliability.
• Mentor others, lead projects, influence engineering standards and technical direction.
• Identify and propose strategies around technical problems affecting the team and communicate solutions.

• BA/BS in Information Technology, Computer Science or related field; minimum 5 years relevant experience.
• Expert level experience with business and technical applications.
• Advanced Python skills for machine learning and data processing; strong SQL proficiency.
• Experience across the full ML lifecycle (development→deployment→monitoring).
• Hands‑on experience with LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like Open Search.
• Experience building production AI systems (APIs, pipelines, microservices).
• Experience designing evaluation frameworks for ML/LLM systems.
• Familiarity with responsible AI principles (fairness, explainability, privacy).
• Experience with cloud‑based ML platforms and scalable architectures (AWS Bedrock or equivalent).
• Healthcare domain experience and knowledge of data privacy and regulatory requirements is strongly preferred.
• Masters or PhD preferred.

Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.